Patents by Inventor Matthew John POST

Matthew John POST has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • END-TO-END STREAMING SPEECH TRANSLATION WITH NEURAL TRANSDUCER
    Publication number: 20250210035
    Abstract: Systems and methods are provided for obtaining, training, and using an end-to-end AST model based on a neural transducer, the end-to-end AST model comprising at least (i) an acoustic encoder which is configured to receive and encode audio data, (ii) a prediction network which is integrated in a parallel model architecture with the acoustic encoder in the end-to-end AST model, and (iii) a joint layer which is integrated in series with the acoustic encoder and prediction network. The end-to-end AST model is configured to generate a transcription in the second language of input audio data in the first language such that the acoustic encoder learns a plurality of temporal processing paths.
    Type: Application
    Filed: March 14, 2025
    Publication date: June 26, 2025
    Inventors: Jinyu LI, Jian XUE, Matthew John POST, Peidong WANG
  • End-to-end streaming speech translation with neural transducer
    Patent number: 12277927
    Abstract: Systems and methods are provided for obtaining, training, and using an end-to-end AST model based on a neural transducer, the end-to-end AST model comprising at least (i) an acoustic encoder which is configured to receive and encode audio data, (ii) a prediction network which is integrated in a parallel model architecture with the acoustic encoder in the end-to-end AST model, and (iii) a joint layer which is integrated in series with the acoustic encoder and prediction network. The end-to-end AST model is configured to generate a transcription in the second language of input audio data in the first language such that the acoustic encoder learns a plurality of temporal processing paths.
    Type: Grant
    Filed: March 15, 2022
    Date of Patent: April 15, 2025
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Jinyu Li, Jian Xue, Matthew John Post, Peidong Wang
  • END-TO-END STREAMING SPEECH TRANSLATION WITH NEURAL TRANSDUCER
    Publication number: 20230298566
    Abstract: Systems and methods are provided for obtaining, training, and using an end-to-end AST model based on a neural transducer, the end-to-end AST model comprising at least (i) an acoustic encoder which is configured to receive and encode audio data, (ii) a prediction network which is integrated in a parallel model architecture with the acoustic encoder in the end-to-end AST model, and (iii) a joint layer which is integrated in series with the acoustic encoder and prediction network. The end-to-end AST model is configured to generate a transcription in the second language of input audio data in the first language such that the acoustic encoder learns a plurality of temporal processing paths.
    Type: Application
    Filed: March 15, 2022
    Publication date: September 21, 2023
    Inventors: Jinyu LI, Jian XUE, Matthew John POST, Peidong WANG